Dear aspiring developer,

You are surrounded by the best generative AI agents and the smartest engineers. But the structural problem remains: generating from scratch is much harder than building on foundations. Roll up your sleeves, and let dk make your dev journey easier by growing yours and (over time) others’ foundations. Happy building!

Jonah Beckford

Tell me what you want to build. You will get a mini-plan that you copy into your AI agent.

How it works

  1. Onboard with a GitHub account
  2. Your AI agent writes dk scripts
  3. A remote GitHub Actions machine builds it
  4. Ship real software

Compared to traditional development

You Traditional software developer
Onboarding IT gives you GitHub Enterprise account, or you use Student/Free account IT gives them corporate machine + GitHub Enterprise account
Code Creator AI agent Themselves and/or AI agent
Hardware GitHub Actions Beefy, always-on development machine
Operating System Windows + maybe macOS Linux + Windows + maybe macOS
Security Sandboxing GitHub Actions Docker and/or Virtual Machines
Coding Style High Throughput: many agents at once. Code must be self-instrumenting (ie. logs, metrics, detailed errors) to cut debug cycles Low Latency: they code one or two things simultaneously with fast, local feedback

12 officially supported packages.

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